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检索条件"机构=Key Laboratory of Pattern Recognition and Intelligent System"
556 条 记 录,以下是311-320 订阅
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A bottom-up kernel of pattern learning for relation extraction
A bottom-up kernel of pattern learning for relation extracti...
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International Symposium on Chinese Spoken Language Processing
作者: Chunyun Zhang Weiran Xu Sheng Gao Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications
Measuring the similarity of patterns is the key in pattern-based approaches in relation extraction. Most existing methods generally rely on inflexible pattern similarity measurements which often lead to low recall. In... 详细信息
来源: 评论
Multi-view face detection based on multi-features adaboost collaborative learning algorithm
Multi-view face detection based on multi-features adaboost c...
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2014 International Conference on Applied Sciences, Engineering and Technology, ICASET 2014
作者: Huang, Rong Bing Zhang, Hong Shu, Chang Ming Key Laboratory of Pattern Recognition and Intelligent Information Processing of Sichuan Chengdu University Sichuan 610106 China School of Information Science and Technology Chengdu University Sichuan 610106 China
In view of the multi-view face detection problem under complex background, an improved face detection method based on multi-features boosting collaborative learning algorithm integrating local binary pattern (LBP) is ... 详细信息
来源: 评论
A new network traffic prediction algorithm based on discrete queue
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Journal of Computational Information systems 2015年 第12期11卷 4255-4261页
作者: Zhang, Hong Hu, Jun Shen, Yuncheng Key Laboratory of Pattern Recognition and Intelligent Information Processing Chengdu China College of Information Science and Technology Chengdu University Chengdu China College of Computer Science Sichuan University Chengdu China School of Traffic and Transportation Beijing Jiaotong University Beijing China Faculty of Computer Science Chengdu Normal University Chengdu China College of Information Science and Technology Zhaotong University Zhaotong China
In order to verify the network traffic decline because by node breakdown, this paper proposes a new type of prediction algorithm (Prediction algorithm based on Discrete-Queue for FARIMA model, PDF). At first, the math... 详细信息
来源: 评论
A multi-dimensional perception of adaptive routing algorithm based OLSR
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Journal of Information and Computational Science 2015年 第8期12卷 3165-3172页
作者: Zhang, Hong Shen, Yuncheng Li, Zhongwen Hu, Jun Key Laboratory of Pattern Recognition and Intelligent Information Processing Chengdu China College of Information Science and Technology Chengdu University Chengdu China College of Computer Science Sichuan University Chengdu China College of Information Science and Technology Zhaotong University Zhaotong China School of Traffic and Transportation Beijing Jiaotong University Beijing China Faculty of Computer Science Chengdu Normal University Chengdu China
Center nodes have a bigger load and burden with lots of routing in an Ad Hoc Network Model. Congestion of the nodes' packets has a great impact on network performance, especially in wireless networks. This paper p... 详细信息
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Smoke Image Segmentation Based on Color Model
Smoke Image Segmentation Based on Color Model
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第11届创新与管理国际学术会议(ICIM2014)
作者: Deng Xing Yu Zhongming Wang Lin Li Jinlan School of Science Guizhou Minzu University Guizhou provincial key laboratory of pattern recognition and intelligent system Liupanshui Normal University
Smoke is the most significant feature in the process of fire,so it's possible to rely on smoke detection to detect *** the smoke image segmentation is the most difficult and also indispensable step in the analysis... 详细信息
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Challenging the recognition of facial expression via deep learning
Challenging the recognition of facial expression via deep le...
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作者: Hu, De Kun Liu, Yong Hong Zhang, Li Duan, Gui Duo Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province Chengdu University Chengdu 610106 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China
A deep Neural Network model was trained to classify the facial expression in unconstrained images, which comprises nine layers, including input layer, convolutional layer, pooling layer, fully connected layers and out... 详细信息
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Smart electric valve controller based on all digital phase-locked loop
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Sensors and Transducers 2014年 第2期165卷 89-95页
作者: Xiaoling, Li School of Computer Science and Technology Chengdu University Chengdu 610106 China University Key Laboratory of Pattern Recognition and Intelligent information Processing Chengdu 610106 China
Electric valve has been applied to various occasions and domains. In some adverse environments where such defects of traditional control system as low efficiency and poor safety have been exposed, optical encoder is a... 详细信息
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Semi-supervised Fisher-Markov Selector via Manifold Regularization
Semi-supervised Fisher-Markov Selector via Manifold Regulari...
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2012 International Conference on Applied Informatics and Communication(ICAIC 2012)
作者: Dong Chen Lin Zhu JieYang Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China
Feature subset selection is an important approach to deal with high-dimensional data. But selecting the best subset of data is NP hard. So most of feature selection methods cannot handle high-dimensional data efficien... 详细信息
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On the Roman domination numbers of generalized Petersen graphs
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Journal of Combinatorial Mathematics and Combinatorial Computing 2014年 89卷 311-320页
作者: Zhang, Zhiqiang Shao, Zehui Xu, Xiaodong Key Laboratory of Pattern Recognition and Intelligent Information Processing Sichuan Province School of Information Science and Technology Chengdu University Chengdu 610106 China Academy of Sciences Nanning 530007 China
For natural numbers n and k, where n > 2k, a generalized Petersen graph P(n,k) is obtained by letting its vertex set be {u1,u 2,..,un} ∪ {u1,v2..,u n} and its edge set be the union of vi v i+1,uivi,ViVi+k over 1 ... 详细信息
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Detection level of mango based on neural network and digital image
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Journal of Chemical and Pharmaceutical Research 2014年 第2期6卷 129-132页
作者: Li, Xiaoling Yuan, Jimin School of Computer Science and Technology of Chengdu University China University Key Laboratory of Pattern Recognition and Intelligent Information Processing China Department Computer Engineering of Chengdu Aeronautic Vocational and Technical College China
In view of the draw backs of mango grade identification in China, which still relies on photoelectric sorting and manual separation, this paper presents a processing method on the basis of the technology of computer v... 详细信息
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